IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p3199-d1113943.html
   My bibliography  Save this article

Fatigue Life Convergence of Offshore Wind Turbine Support Structure According to Wind Measurement Period

Author

Listed:
  • Gee-Nam Lee

    (Department of Ocean Science and Engineering, Kunsan National University, Gunsan 54150, Republic of Korea)

  • Duc-Vu Ngo

    (Department of Ocean Science and Engineering, Kunsan National University, Gunsan 54150, Republic of Korea)

  • Sang-Il Lee

    (Department of Wind Energy, Graduate School, Kunsan National University, Gunsan 54150, Republic of Korea)

  • Dong-Hyawn Kim

    (School of Architecture and Coastal Construction Engineering, Kunsan National University, Gunsan 54150, Republic of Korea)

Abstract

This paper investigated the fatigue life of offshore wind turbine (OWT) support structures. For this purpose, a 3 MW-capacity typical wind turbine is investigated using time-domain finite element simulations. In numerical simulations, different stochastic wind models corresponding to different accumulation periods are applied. Then, the stress-based fatigue life is estimated following the rain-flow counting algorithm and Palmgren-Miner linearly cumulative damage rule. The study also addresses the joint distribution of loads at the site of interest. Generally, the study emphasizes the significance of the long-term distribution of the applied environment loads and its influence on the fatigue life of OWT’s substructures. The results imply that the wind measurement period is directly linked to the fatigue life of offshore wind turbine support structures. Accordingly, its fatigue life is significantly reduced at the 25-year accumulative period of wind. Therefore, this study recommends that a sufficient number of accumulative periods of wind and other environmental loads should be considered appropriately.

Suggested Citation

  • Gee-Nam Lee & Duc-Vu Ngo & Sang-Il Lee & Dong-Hyawn Kim, 2023. "Fatigue Life Convergence of Offshore Wind Turbine Support Structure According to Wind Measurement Period," Energies, MDPI, vol. 16(7), pages 1-14, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3199-:d:1113943
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/3199/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/7/3199/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Duc-Vu Ngo & Young-Jin Kim & Dong-Hyawn Kim, 2022. "Seismic Fragility Assessment of a Novel Suction Bucket Foundation for Offshore Wind Turbine under Scour Condition," Energies, MDPI, vol. 15(2), pages 1-22, January.
    2. Young-Jin Kim & Duc-Vu Ngo & Jang-Ho Lee & Dong-Hyawn Kim, 2022. "Ultimate Limit State Scour Risk Assessment of a Pentapod Suction Bucket Support Structure for Offshore Wind Turbine," Energies, MDPI, vol. 15(6), pages 1-14, March.
    3. Passon, Patrik, 2015. "Damage equivalent wind–wave correlations on basis of damage contour lines for the fatigue design of offshore wind turbines," Renewable Energy, Elsevier, vol. 81(C), pages 723-736.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Duc-Vu Ngo & Young-Jin Kim & Dong-Hyawn Kim, 2023. "Risk Assessment of Offshore Wind Turbines Suction Bucket Foundation Subject to Multi-Hazard Events," Energies, MDPI, vol. 16(5), pages 1-13, February.
    2. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    3. Young-Jin Kim & Duc-Vu Ngo & Jang-Ho Lee & Dong-Hyawn Kim, 2022. "Ultimate Limit State Scour Risk Assessment of a Pentapod Suction Bucket Support Structure for Offshore Wind Turbine," Energies, MDPI, vol. 15(6), pages 1-14, March.
    4. Marino, Enzo & Giusti, Alessandro & Manuel, Lance, 2017. "Offshore wind turbine fatigue loads: The influence of alternative wave modeling for different turbulent and mean winds," Renewable Energy, Elsevier, vol. 102(PA), pages 157-169.
    5. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
    6. Yang, Siyao & Lin, Kun & Zhou, Annan, 2024. "An ML-based wind turbine blade design method considering multi-objective aerodynamic similarity and its experimental validation," Renewable Energy, Elsevier, vol. 220(C).
    7. Ju, Shen-Haw & Su, Feng-Chien & Ke, Yi-Pei & Xie, Min-Hsuan, 2019. "Fatigue design of offshore wind turbine jacket-type structures using a parallel scheme," Renewable Energy, Elsevier, vol. 136(C), pages 69-78.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3199-:d:1113943. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.